Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
IEEE/ACM Transactions on Networking (TON)
M|G|Infinity Input Processes: A Versatile Class of Models for Network Traffic
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Fractal traffic: measurements, modelling and performance evaluation
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
A tool for RApid model parameterization and its applications
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Simulation input analysis: difficulties in simulating queues with Pareto service
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
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This paper provides a contribution for NS-3 consisting of a new tool for generating Internet traffic. This tool is based on the Poisson Pareto Burst Process (PPBP), a Long-Range Dependent (LRD) model for network traffic. The PPBP model provides a simple and accurate network traffic generator that matches statistical properties of real-life IP networks. We have implemented this model in NS-3. We evaluate the computing performance of this PPBP implementation. Our results show a moderate overhead introduction in terms of memory needs and a roughly identical cost in CPU time as compared to a simple Poisson traffic generator.